Edirisuriya M. Dilanga Siriwardane

University of South Carolina System

H指数:16

被引数:814

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Exploiting Transformer-Based Networks and Boosting Algorithms for Ultralow Compressible Boride Design

利用基于Transformer的网络和提升算法进行超低可压缩硼化物设计

JOURNAL OF PHYSICAL CHEMISTRY C

IF3.2

2025-04-210

PRE

Ab initio prediction of phase stability of quaternary Mo1-xMxAlB (M = Cr, Fe, Mn, Nb, Sc, Ta, Ti, V, and W) MAB solid solutions

JOURNAL OF APPLIED PHYSICS

IF2.5

2024-08-120

PRE

Crystal Composition Transformer: Self-Learning Neural Language Model for Generative and Tinkering Design of Materials

晶体成分转换器: 用于材料生成和修补设计的自学习神经语言模型

ADVANCED SCIENCE

IF14.1

2024-08-050

OAAI

Discovery of 2D Materials using Transformer Network-Based Generative Design

使用基于变压器网络的生成设计发现2D材料

ADVANCED INTELLIGENT SYSTEMS

IF6.1

2023-10-101

OAAI

Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic Materials

ACS OMEGA

IF4.3

2023-07-117

OAAI

Physics guided deep learning for generative design of crystal materials with symmetry constraints (vol 9, 38, 2023)

NPJ COMPUTATIONAL MATERIALS

IF11.9

2023-06-170

Physics guided deep learning for generative design of crystal materials with symmetry constraints

NPJ COMPUTATIONAL MATERIALS

IF11.9

2023-03-1836

Material transformers: deep learning language models for generative materials design

材料转换器: 生成材料设计的深度学习语言模型

MACHINE LEARNING-SCIENCE AND TECHNOLOGY

IF4.6

2023-01-0521

Materials synthesizability and stability prediction using a semi-supervised teacher-student dual neural network

DIGITAL DISCOVERY

IF5.6

2023-01-016

Nanolaminated Fe2AB2 and Mn2AB2 (A = Al, Si, Ga, In) materials and the assessment of their electronic correlations

PHYSICAL REVIEW MATERIALS

IF3.4

2022-12-286

PRE

Generative design of stable semiconductor materials using deep learning and density functional theory

NPJ COMPUTATIONAL MATERIALS

IF11.9

2022-08-0413

Accurate Prediction of Voltage of Battery Electrode Materials Using Attention-Based Graph Neural Networks

基于注意力图神经网络的电池电极材料电压精确预测

ACS APPLIED MATERIALS & INTERFACES

IF8.2

2022-06-0622

TCSP: a Template-Based Crystal Structure Prediction Algorithm for Materials Discovery

INORGANIC CHEMISTRY

IF4.7

2022-04-1422

PRE

MaterialsAtlas.org: a materials informatics web app platform for materials discovery and survey of state-of-the-art

MaterialsAtlas.org: 用于材料发现和最新技术调查的材料信息学web应用平台

NPJ COMPUTATIONAL MATERIALS

IF11.9

2022-04-1130

High-Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks

ADVANCED SCIENCE

IF14.1

2021-08-0569

OAAI

Active-Learning-Based Generative Design for the Discovery of Wide-Band-Gap Materials

JOURNAL OF PHYSICAL CHEMISTRY C

IF3.2

2021-07-2017

OAAI

First-Principles Investigation of Ti2CSO and Ti2CSSe Janus MXene Structures for Li and Mg Electrodes

Li和Mg电极的Ti2CSO和Ti2CSSe Janus MXene结构的第一性原理研究

JOURNAL OF PHYSICAL CHEMISTRY C

IF3.2

2021-06-0721

OAAI

Computational Discovery of New 2D Materials Using Deep Learning Generative Models

使用深度学习生成模型计算发现新的2D材料

ACS APPLIED MATERIALS & INTERFACES

IF8.2

2021-05-1457

OAAI

Assessment of Sulfur-Functionalized MXenes for Li-Ion Battery Applications

用于锂离子电池应用的硫官能化mxene的评估

JOURNAL OF PHYSICAL CHEMISTRY C

IF3.2

2020-09-0131

OAAI

Revealing the Formation Energy-Exfoliation Energy-Structure Correlation of MAB Phases Using Machine Learning and DFT

使用机器学习和DFT揭示MAB相的形成能-剥落能-结构相关性

ACS APPLIED MATERIALS & INTERFACES

IF8.2

2020-06-1641

OAAI

Edirisuriya M. Dilanga Siriwardane

个人简介

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